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Azure Container Apps – Simplifying Container Deployment Without the Kubernetes Complexity

Xebia

In August 2021, I was accepted to test and provide feedback on what was referred to as ‘Azure Worker Apps’, another Azure service Microsoft was developing to run containers. Fast forward, that service is now known as Azure Container Apps. This is where Azure Web Apps for Containers comes into play.

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All you need to know about Azure DevOps!

Cloud That

What is Azure DevOps? Core Azure DevOps Services. Microsoft Azure DevOps Server. Pricing for Azure DevOps. Azure DevOps: Sign up. Azure DevOps Services. Azure provides cloud-based DevOps services. In this blog, we will look at Azure DevOps, a Microsoft cloud-based DevOps solution.? .

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4 Microsoft Azure Services for Software Development and Modernization

Datavail

Below, we’ll go into more detail about the Microsoft Azure cloud, including some of the most important Azure features and services for developing and modernizing applications. Azure Machine Learning. Azure Machine Learning simplifies the process of building, training, and deploying production-ready machine learning models.

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Demystifying MLOps: From Notebook to ML Application

Xebia

Most enterprise ML platforms (Vertex AI, Azure ML, Sagemaker) integrate with MLflow. Therefore, we will deploy our solution to one of the cloud providers ( Azure , GCP , AWS , or others). Continuous integration and continuous deployment (CI/CD) We already went from a local notebook to a container to cloud.

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Foote Partners: bonus disparities reveal tech skills most in demand in Q3

CIO

Cash pay premiums for some IT certifications rose as much as 57% in Q3 in the US, highlighting for employees the importance of keeping up to date on training, and for CIOs the cost of running the latest (or oldest) technologies. On average, though, bonuses for non-certified skills were bigger and faster-growing than those for certifications.

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data. MLOps brings automation to model training and retraining processes. Training never ends.

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The IT Leader’s Ultimate Multicloud Toolbox

Perficient

Today, we’ll take a deeper dive in five of the most popular tools mentioned in the guide – Terraform, Azure DevOps, Ansible Automation Platform, Red Hat OpenShift, and CloudBolt – their use cases, strengths, and weaknesses of these tools to help you determine if they are the right fit for your organization.